Microarray analysis of autoantibodies can identify future Systemic Lupus Erythematosus patients.


Journal

Human immunology
ISSN: 1879-1166
Titre abrégé: Hum Immunol
Pays: United States
ID NLM: 8010936

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 25 01 2022
revised: 25 03 2022
accepted: 31 03 2022
pubmed: 16 4 2022
medline: 18 5 2022
entrez: 15 4 2022
Statut: ppublish

Résumé

Reliable early ascertainment in patients with SLE is important to prevent the accumulation of irreversible organ damage. Autoantibodies are often present in the serum of patients before the first symptoms arise, therefore they are of potential use as early diagnostic tools. We used a custom-made antibody microarray containing 57 autoantigens to analyze serum samples of 1519 patients previously tested for anti-dsDNA and 361 samples of self-reported healthy blood bank donors (BBD). The 1519 patients included 483 patients with SLE, 346 patients with other immune mediated inflammatory diseases (IMID), 218 patient controls without relevant clinical symptoms (Non-IMID), and 472 patients that did not fit in any of the previous groups (Rest). The Non-IMID and BBD groups were used individually to create multivariable prediction models to distinguish samples of patients with SLE from these control groups. We subsequently used these models to predict the outcome for samples of patients who developed SLE while in follow-up (pre-SLE). Out of 1036 patients with no diagnosis of SLE at the moment of sample collection, 17 patients developed SLE while in follow-up (mean time to diagnosis 7.2 months). The best performing model (AUC 0.83) identified 9 out of 17 (53%) pre-SLE samples as SLE, with a specificity of 94%. Serum samples of patients who will develop SLE in the future already show a shift of the autoantibody profile prior to diagnosis. In this study, we show that these autoantibody profiles can be used to identify these future SLE patients.

Identifiants

pubmed: 35422358
pii: S0198-8859(22)00070-2
doi: 10.1016/j.humimm.2022.03.010
pii:
doi:

Substances chimiques

Autoantibodies 0
Autoantigens 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

509-514

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Henny Otten reports financial support was provided by Thermo Fisher Scientific ImmunoDiagnostics Division. Jorge Dias reports a relationship with Thermo Fisher Scientific ImmunoDiagnostics Division that includes: employment. Linda Mathsson-Alm reports a relationship with Thermo Fisher Scientific ImmunoDiagnostics Division that includes: employment. Jacob van Laar reports a relationship with Thermo Fisher Scientific Inc that includes: funding grants. Jacob van Laar reports a relationship with AstraZeneca that includes: funding grants. Jacob van Laar reports a relationship with MSD that includes: funding grants.

Auteurs

Tammo E Brunekreef (TE)

Department of Rheumatology & Clinical Immunology, UMC Utrecht, Netherlands.

Leon C Reteig (LC)

Central Diagnostic Laboratory, UMC Utrecht, Netherlands; Center of Translational Immunology, UMC Utrecht, Netherlands.

Maarten Limper (M)

Department of Rheumatology & Clinical Immunology, UMC Utrecht, Netherlands.

Saskia Haitjema (S)

Central Diagnostic Laboratory, UMC Utrecht, Netherlands.

Jorge Dias (J)

Thermo Fisher Scientific, Uppsala, Sweden.

Linda Mathsson-Alm (L)

Thermo Fisher Scientific, Uppsala, Sweden.

Jacob M van Laar (JM)

Department of Rheumatology & Clinical Immunology, UMC Utrecht, Netherlands.

Henny G Otten (HG)

Center of Translational Immunology, UMC Utrecht, Netherlands. Electronic address: h.g.otten@umcutrecht.nl.

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Classifications MeSH